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Final Call: CFP: FiCloud 2021
by FiCloud Conference 12 Apr '21

12 Apr '21

---------------------Call for Papers - Final Call ------------------------------ The 8th International Conference on Future Internet of Things and Cloud (FiCloud 2021) IEEE-CS TCI 23-25 August 2021, Online (Virtual) http://www.ficloud.org/2021/ ------------------------------------------------------------ Cloud is a modern computing platform for delivering on-demand computing services to service consumers over the Internet. Computing services include, for example, storage, memory, compute power, databases, and networking among others. Cloud services are generally provided using SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Unlike conventional distributed computing, cloud offers flexibility, scalability, efficiency and elasticity in service provisioning. The Internet of Things (IoT) provides a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: 1. Cloud Services Models 2. Security, Privacy and Trust 3. Software Systems, Models and Architectures 4. Blockchain in Cloud and IoT 5. Data and Knowledge Management 6. Context-aware Systems 7. Software-defined Networking 8. Performance Evaluation and Modelling 9. Networking and Communication Protocols 10. IoT Services and Applications 11. Smart Environment 12. Machine learning in Cloud and IoT 13. Energy Efficiency 14. Federation and Virtualization 15. Fog and Edge Computing 16. Industry Track 17. General Track – Future IoT and Cloud Computing Important Dates: Submission Deadline: 15 April 2021 (Firm) Authors Notification: 20 May 2021 Final Manuscript Due: 15 June 2021 Conference Venue: The organizing committee is carefully monitoring the Covid-19 situation. The safety and well-being of the conference participants is the main priority. The committee will confirm by Spring 2021 of whether to hold the conference onsite in Rome or as an online event. Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2020/). All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website).

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Phd and Postdoc positions (France)
by El-ghazali Talbi 12 Apr '21

12 Apr '21

The BONUS (Big Optimization and Ultra-scale Optimization -https://sites.google.com/view/bonus-research-group/) research group has three PhD and one post-doctoral proposals. The detailed decsriptions can be found following the Web links given below. - PhD Position F/M [Industrial collaboration] Multi-objective automated design of deep neural networks Details in pdf file enclosed - PhD Position F/M [Campagne doctorant 2021 - CRI Lille] Quantum-assisted optimization https://jobs.inria.fr/public/classic/fr/offres/2021-03448 - PhD Position F/M [Université de Lille - Université du Luxembourg] Productivity-aware parallel cooperative combinatorial optimization for ultra-scale supercomputers https://www.cristal.univ-lille.fr/sujets-these/details.html?id=50e6963dbe06… - Post-Doctoral Research Visit F/M [Campagne Post-doctorant 2021 - CRI Lille] Parallel surrogate-assisted optimization for automatic hyper-parameter and neural architecture search in Deep Learning (M/F) https://jobs.inria.fr/public/classic/fr/offres/2021-03418 Best regards, -- ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com -- L'absence de virus dans ce courrier électronique a été vérifiée par le logiciel antivirus Avast. https://www.avast.com/antivirus

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Invitation to join 2021 Spring School 'CVML Short Course - Machine Learning and Deep Neural Networks', 27-28th April 2021 (6th edition)
by Ioanna Koroni 12 Apr '21

12 Apr '21

Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in this CVML Short e-course on 'Machine Learning and Deep Neural Networks', 27-28th April 2021: https://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-dee p-neural-networks/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. Course description 'Machine Learning and Deep Neural Networks' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation of Deep Neural Networks, which are at the forefront of AI advances today, starting with introduction to Machine Learning. Then the cornerstone DNN theory and technologies are presented: a) Artificial Neural Networks, Perceptron; b) Multilayer perceptron, Backpropagation; c) Deep neural networks. Both data classification and regression problems are treated. Convolutional NNs; d) Recurrent Neural Networks; e) Attention and Transformers. Applications follow in several image analysis, computer vision and autonomous system applications, notably: a) Deep learning for object detection and b) Deep Semantic Image Segmentation. Finally, Generative Adversarial Networks are presented that promise to revolutionize the way we create media/arts, while seriously threatening our democracy with fake data creation and spread. Part B lectures (8 hours) provide fan in-depth presentation of Machine Learning to complement DNNs. Unsupervised Learning (Data Clustering) is first detailed, allowing us to find structure and extract concepts/knowledge from huge high-dimensionality data. Then Supervised Learning (Data Classification) techniques are presented, notably: a) Decision surfaces (whose special case is DNNs and SVMs) and b) Distance based classification. Dimensionality reduction techniques are overviewed, allowing us to visualize high-dimensionality data found in most applications, ranging from Medicine to Financial Engineering. Kernel methods are presented that can boost performance of any linear ML operation (e.g., PCA, K-means etc). Bayesian learning provides a unified theoretical framework that can encompass many of the ML approaches. Deep Reinforcement Learning is also presented, as it is an essential element in novel Robotics/Control and other decision-making application domains. Finally, CVML programming tools (e.g., DNN frameworks, BLAS/cuBLAS, DNN and CV libraries) are overviewed, as they allow fast application of all the above knowledge in almost any application domain. Course lectures Part A: Deep Neural networks (first day, 8 lectures) 1. Introduction to Machine Learning 2. Artificial Neural Networks, Perceptron 3. Multilayer perceptron. Backpropagation 4. Deep neural networks. Convolutional NNs 5. Recurrent Neural Networks. LSTMs 6. Attention and Transformers 7. Deep learning for object detection 8. Deep Semantic Image Segmentation Part B: Machine Learning. Pattern Recognition (second day, 8 lectures) 1. Generative Adversarial Networks 2. Data Clustering 3. Decision Surfaces. Support Vector Machines 4. Dimensionality Reduction 5. Kernel Methods 6. Bayesian Learning 7. Deep Reinforcement Learning 8. CVML Software Development Tools Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Short e-course on 'Computer Vision for Autonomous Systems' 5-6th May 2021: http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auton omous-systems/ You can use the following link for course registration: http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep -neural-networks/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni <koroniioanna(a)csd.auth.gr <mailto:koroniioanna@csd.auth.gr> > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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IEEE HiPC 2021 Programming Contest Call For Participation
by sanmukh＠hipc.org 04 Apr '21

04 Apr '21

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IEEE HiPC 2021 Call For Papers
by sanmukh＠hipc.org 04 Apr '21

04 Apr '21

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2021 CALL FOR PAPERS ********************************************************************** 28th IEEE International Conference on High Performance Computing, Data, and Analytics 17–20 December 2021 in Bangalore, India https://hipc.org/ PROGRAM CHAIRS HPC: Ana Lucia Varbanescu, University of Amsterdam, The Netherlands (a.l.varbanescu(a)uva.nl) Data Science: Yogesh Simmhan, Indian Institute of Science, India (simmhan(a)iisc.ac.in) HPC TRACKS Algorithms: Sanjukta Bhowmick, University of North Texas, USA Applications: Abhinav Bhatele, University of Maryland, USA Architecture: Michela Becchi, North Carolina State University, USA System Software: Sathish Vadhiyar, Indian Institute of Science, India DATA SCIENCE TRACKS Scalable Algorithms and Analytics: Zeyi Wen, University of Western Australia, Australia Scalable Systems and Software: Min Si, Argonne National Laboratory, USA HiPC 2021 will be the 28th edition of the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the six tracks listed under the two broad themes of High Performance Computing and Data Science. Up to two best paper awards will be given for outstanding contributed papers. HIGH PERFORMANCE COMPUTING Algorithms. This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models). Architecture. This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * High performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); * Networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * Memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications. This track invites papers that describe original research on the design and implementation of scalable and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to): * Shared and distributed memory parallel applications (e.g., scientific computing, simulation and visualization applications, graph and irregular applications, data-intensive applications, science/engineering/industry applications, emerging applications in IoT and life sciences, etc.); * Methods, algorithms, and optimizations for scaling applications on peta- and exa-scale platforms (e.g., co-design of hardware and software, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., GPUs, FPGA, vector processors, manycore); * Application benchmarks and workloads for parallel and distributed platforms. Systems Software. This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; * Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). SCALABLE DATA SCIENCE Scalable Algorithms and Analytics. This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); * Scalable algorithms that ensure the transparency and fairness of the analysis; * Case studies, experimental studies, and benchmarks for scalable algorithms and analytics; * Scaling and accelerating machine learning, deep learning, and computer vision applications. Scalable Systems and Software. This track invites papers that describe original research on developing scalable systems and software for handling data at scale and related advances. Examples of topics of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications) * Scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs). * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). IMPORTANT DATES Abstract Submission Deadline: 4 June, 2021 Paper Submission Deadline: 11 June, 2021 Notification of Initial Decisions: 27 August, 2021 Deadline for Revised Submission: 17 September, 2021 Notification of Final Decisions: 1 October, 2021 Camera Ready Due (for all accepted papers): 15 October, 2021 MANUSCRIPT AND SUBMISSION GUIDELINES Abstracts of no more than 300 words must be submitted by the abstract submission deadline. The title and abstract submitted by this deadline should have sufficient detail and not just be a placeholder. Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. The submitted paper should list the authors and their affiliations. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions here. Electronic submissions must be in the form of a readable PDF file. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers must be submitted under one of the 6 technical tracks listed above. The topics listed under each track are representative, but not exhaustive. A published proceeding will be available at the conference. Authors may contact the Program Chair at the email address above for further information or clarification. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper in person is a requirement of publication for a physical conference. Depending on how the COVID-19 pandemic situation evolves, the presentation may be in person or in a virtual format. Details of these will be specified at the time of paper acceptance. Any paper not meeting requirements will not be included in the conference proceedings under IEEE Xplore. Authors of selected high-quality papers in HiPC 2021 will be invited to submit extended versions of their papers for possible publication in a special issue of the Journal of Parallel and Distributed Computing. Submit your paper: https://easychair.org/conferences/?conf=hipc2021. REVIEW PROCESS All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper, for example in a separate paragraph in the introduction of the paper. The review process is “single-blind” (i.e., authors can list their names on the paper), and that there will be a rebuttal period. The initial decision for the submission may be Accept, Reject or Revise. Papers that are recommended for revision will have to address the comments from the reviewers, and submit a revised article along with a summary of changes. This will go through a light review and the final decision will be communicated.

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ICCSA 2021: Computational Optimization and Applications - deadline extended
by Ana Rocha 03 Apr '21

03 Apr '21

Dear colleague, Extended deadline for submission to the: Computational Optimization and Applications (COA 2021) Workshop of the 21th International Conference on Computational Science and Applications (ICCSA 2021, <http://www.iccsa.org/> http://www.iccsa.org/) will be held on July 5 - 8, 2021 in collaboration with the University of Cagliari, Italy, in blended form. Like last year, ICCSA 2021 offers the possibility of online-only participation (with reduced registration fees). But we are also planning to offer the possibility of in-presence participation, should the pandemic situation allow it, by setting up a blended experience for mixed online/in-presence sessions. IMPORTANT DATES - deadline extended ================ March 28, April 25, 2021: Deadline for abstract and paper submission to the COA Workshop April 18, May 30, 2021: Notification of Acceptance. May 10, June 20, 2021: Submission deadline for the final version of the Proceeding Papers May 10, June 20, 2021: Early-bird Registration ends. July 5-8, 2021: ICCSA 2020 Conference TOPICS ====== The scope of the Workshop is to bring together scientists working in Computational Optimization and its applications in science and engineering. Topics of interest include (but are not limited to): * Computational Optimization: new issues in computational algorithms for continuous and discrete optimization; deterministic and stochastic algorithms, nature-inspired algorithms and other metaheuristic algorithms for solving optimization problems. * Applications: case studies in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences. PROCEEDINGS ============ The proceedings of the COA 2021 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, <http://www.springer.com/gp/computer-science/lncs> http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: <http://ess.iccsa.org/> http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site ( <http://www.iccsa.org/instructions-for-authors> http://www.iccsa.org/instructions-for-authors ) If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZERS =========== * Ana Maria A. C. Rocha ( <mailto:arocha@dps.uminho.pt> arocha(a)dps.uminho.pt), <http://www.dps.uminho.pt/> Dep. of Production and Systems (University of Minho), <http://algoritmi.uminho.pt/> ALGORITMI Center (University of Minho), Portugal * Humberto Rocha ( <mailto:hrocha@fe.uc.pt> hrocha(a)fe.uc.pt), <https://www.uc.pt/en/feuc> Faculty of Economics (University of Coimbra), <https://www.uc.pt/en/uid/ceber> CeBER (University of Coimbra), Portugal If you have some doubts or problems so not hesitate to contact the organizers. Best regards, Ana Maria A. C. Rocha and Humberto Rocha (COA 2021 organizers)

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Research Opportunity: AI/ML for anomaly detection and metric forecasting in data center operations
by Tommaso Cucinotta 02 Apr '21

02 Apr '21

Dear all, at Scuola Superiore Sant'Anna in Pisa (Italy), we are offering 2 yearly (renewable) research associate positions in the area of "Artificial Intelligence and Machine Learning supporting anomaly detection and metric forecasting in data center operations", an industrial research project funded by the Vodafone network operator. More information about the project is available at: English: https://www.santannapisa.it/en/news/artificial-intelligence-telecommunicati… Italian: https://www.santannapisa.it/it/news/intelligenza-artificiale-e-telecomunica… Additional information is also available at: https://www.linkedin.com/pulse/two-research-positions-ai-nfv-scuola-superio… The call for applications (due on April, 6th, at 11:59am CET) is available at: English: https://www.santannapisa.it/en/assegni-di-ricerca-e-selezioni/institute-com… Italian: https://www.santannapisa.it/it/assegni-di-ricerca-e-selezioni/istituto-di-t… Should you need further information, don't hesitate to write me. Feel free to forward this message to potentially interested colleagues. Thanks and regards, Tommaso Cucinotta -- Tommaso Cucinotta, Associate Professor in Computer Engineering, PhD Head of the Real-Time Systems Laboratory (ReTiS) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/people/tommaso

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CFP: FiCloud 2021 - Deadline Extended
by FiCloud Conference 01 Apr '21

01 Apr '21

---------------------Call for Papers - Deadline Extended ------------------------------ The 8th International Conference on Future Internet of Things and Cloud (FiCloud 2021) IEEE-CS TCI 23-25 August 2021, Online (Virtual) http://www.ficloud.org/2021/ ------------------------------------------------------------ Cloud is a modern computing platform for delivering on-demand computing services to service consumers over the Internet. Computing services include, for example, storage, memory, compute power, databases, and networking among others. Cloud services are generally provided using SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Unlike conventional distributed computing, cloud offers flexibility, scalability, efficiency and elasticity in service provisioning. The Internet of Things (IoT) provides a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: 1. Cloud Services Models 2. Security, Privacy and Trust 3. Software Systems, Models and Architectures 4. Blockchain in Cloud and IoT 5. Data and Knowledge Management 6. Context-aware Systems 7. Software-defined Networking 8. Performance Evaluation and Modelling 9. Networking and Communication Protocols 10. IoT Services and Applications 11. Smart Environment 12. Machine learning in Cloud and IoT 13. Energy Efficiency 14. Federation and Virtualization 15. Fog and Edge Computing 16. Industry Track 17. General Track – Future IoT and Cloud Computing Important Dates: Submission Deadline: 15 April 2021 (Firm) Authors Notification: 20 May 2021 Final Manuscript Due: 15 June 2021 Conference Venue: The organizing committee is carefully monitoring the Covid-19 situation. The safety and well-being of the conference participants is the main priority. The committee will confirm by Spring 2021 of whether to hold the conference onsite in Rome or as an online event. Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2020/). All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website).

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University (2 vacancies)
by COMP HKBU 01 Apr '21

01 Apr '21

The Department of Computer Science at Hong Kong Baptist University, presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. Professor / Associate Professor / Assistant Professor (Computer Science) (2 vacancies) (PR0311/18-19) The appointees will perform high-impact research, to teach and supervise students at undergraduate and postgraduate levels, and to contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) secure and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiry, please contact Dr. William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk). More information about the Department can be found at http://www.comp.hkbu.edu.hk. *Those who have responded to the previous advertisement need not re-apply.* *Rank and salary will be commensurate with qualifications and experience.* Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably *three best ones* out of their most recent publications/works. They should also request *two referees* to send in confidential letters of reference, with PR number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is on-going until the position is filled. URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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Computational and Applied Statistics at ICCSA 2021 - extended deadline
by Ana Cristina Silva Braga 31 Mar '21

31 Mar '21

Dear Colleague, I hope you are well, beyond the hardships that everyone, in every part of the world, is experiencing. Taking into account the exceptional situation that the whole world is going through, the dates related to submission and decision-making on articles submitted to the 8th edition of the Computational and Applied Statistics (CAS2021) (https://cas2020.webnode.com/) workshop have been changed. The new deadline for paper submission is April 30, 2021. News about the date of conference will be update, after Easter, on ICCSA web and Facebook pages *********************************************************************** ****************** APOLOGIES FOR MULTIPLE COPIES RECEIVED *************** *********************************************************************** ********************* CAS 2021 CALL FOR PAPERS ************************** ********************* NEW deadline: April 30, 2021 ******************** Computational and Applied Statistics (CAS 202<https://cas2020.webnode.com/>1) Workshop of the 21th International Conference on Computational Science and Applications (ICCSA 2021, http://www.iccsa.org/) will be held in Cagliari, Italy. TOPICS ====== The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences. Topics of interest include (but are not limited to): * Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc * Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences. IMPORTANT DATES (NEW) ====================== April 30, 2021: Deadline for abstract and paper submission to the CAS Workshop. May 30, 2021: Notification of Acceptance June 20, 2021: Early-bird Registration ends June 20, 2021: Submission deadline for the final version of the Proceeding Papers New Date (will be announced soon): ICCSA 2021 Conference. PROCEEDINGS ============ The proceedings of the CAS 2021 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site: http://www.iccsa.org/instructions-for-authors If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZER =========== * Ana Cristina Braga (acb(a)dps.uminho.pt<mailto:acb@dps.uminho.pt>), Dep. of Production and Systems (University of Minho), Algoritmi Research Centre (University of Minho), Portugal. If you have some doubts or problems, do not hesitate to contact the organizer. Best regards, Ana Cristina Braga (CAS 2021 organizer)

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